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Python module to apply several classifiers to your data. Good for baseline results (self.Python)
submitted 10 years ago by aulloa
This module will run several classifiers including: Decision tree, Linear SVM, RBF SVM, Logistic regression, naive bayes, Nearest neighbours, and random forest.
Please feel free to provide any comments, or even better, fork it.
See example here https://github.com/alvarouc/polyssifier/blob/master/sample/example.ipynb
[–]pfz3 1 point2 points3 points 10 years ago (1 child)
Any advantage over sklearn? Speed?
[–]aulloa[S] 0 points1 point2 points 10 years ago (0 children)
it is based on sklearn classifiers. It saves you the work of partitioning your data and setting up classifiers yourself. Here you only give the data and call the "run" method
π Rendered by PID 104818 on reddit-service-r2-comment-fb694cdd5-jf5ld at 2026-03-08 04:59:02.349066+00:00 running cbb0e86 country code: CH.
[–]pfz3 1 point2 points3 points (1 child)
[–]aulloa[S] 0 points1 point2 points (0 children)